Bangladeshi vs Nonimmigrants Community Comparison

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Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
ImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Nonimmigrants
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Bangladeshis

Nonimmigrants

Fair
Fair
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
3,083
SOCIAL INDEX
28.4/ 100
SOCIAL RATING
234th/ 347
SOCIAL RANK

Nonimmigrants Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 141,454,225 people shows a slight negative correlation between the proportion of Nonimmigrants within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.098. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.056% in Nonimmigrants. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 56.4 Nonimmigrants.
Bangladeshi Integration in Nonimmigrants Communities

Bangladeshi vs Nonimmigrants Income

When considering income, the most significant differences between Bangladeshi and Nonimmigrants communities in the United States are seen in wage/income gap (22.2% compared to 27.2%, a difference of 22.7%), per capita income ($35,897 compared to $40,669, a difference of 13.3%), and median male earnings ($46,744 compared to $52,170, a difference of 11.6%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $37,024, a difference of 3.0%), householder income under 25 years ($47,589 compared to $49,348, a difference of 3.7%), and householder income over 65 years ($54,719 compared to $57,426, a difference of 5.0%).
Bangladeshi vs Nonimmigrants Income
Income MetricBangladeshiNonimmigrants
Per Capita Income
Tragic
$35,897
Tragic
$40,669
Median Family Income
Tragic
$88,358
Tragic
$96,231
Median Household Income
Tragic
$74,112
Tragic
$79,429
Median Earnings
Tragic
$41,263
Tragic
$44,117
Median Male Earnings
Tragic
$46,744
Tragic
$52,170
Median Female Earnings
Tragic
$35,960
Tragic
$37,024
Householder Age | Under 25 years
Tragic
$47,589
Tragic
$49,348
Householder Age | 25 - 44 years
Tragic
$81,363
Tragic
$88,301
Householder Age | 45 - 64 years
Tragic
$86,402
Tragic
$94,448
Householder Age | Over 65 years
Tragic
$54,719
Tragic
$57,426
Wage/Income Gap
Exceptional
22.2%
Tragic
27.2%

Bangladeshi vs Nonimmigrants Poverty

When considering poverty, the most significant differences between Bangladeshi and Nonimmigrants communities in the United States are seen in single father poverty (15.2% compared to 18.8%, a difference of 24.1%), receiving food stamps (15.0% compared to 12.4%, a difference of 21.6%), and married-couple family poverty (6.0% compared to 5.3%, a difference of 13.2%). Conversely, both communities are more comparable in terms of single mother poverty (31.7% compared to 32.2%, a difference of 1.4%), female poverty among 25-34 year olds (15.9% compared to 15.6%, a difference of 1.7%), and seniors poverty over the age of 75 (12.0% compared to 12.2%, a difference of 2.1%).
Bangladeshi vs Nonimmigrants Poverty
Poverty MetricBangladeshiNonimmigrants
Poverty
Tragic
14.8%
Tragic
13.3%
Families
Tragic
10.9%
Tragic
9.8%
Males
Tragic
13.6%
Tragic
12.1%
Females
Tragic
16.0%
Tragic
14.5%
Females 18 to 24 years
Tragic
22.5%
Tragic
21.5%
Females 25 to 34 years
Tragic
15.9%
Tragic
15.6%
Children Under 5 years
Tragic
20.6%
Tragic
19.7%
Children Under 16 years
Tragic
19.9%
Tragic
17.9%
Boys Under 16 years
Tragic
20.0%
Tragic
18.2%
Girls Under 16 years
Tragic
20.0%
Tragic
18.3%
Single Males
Tragic
13.3%
Tragic
14.6%
Single Females
Tragic
24.2%
Tragic
23.6%
Single Fathers
Exceptional
15.2%
Tragic
18.8%
Single Mothers
Tragic
31.7%
Tragic
32.2%
Married Couples
Tragic
6.0%
Fair
5.3%
Seniors Over 65 years
Fair
11.2%
Average
10.9%
Seniors Over 75 years
Good
12.0%
Average
12.2%
Receiving Food Stamps
Tragic
15.0%
Poor
12.4%

Bangladeshi vs Nonimmigrants Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Nonimmigrants communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 10.0%, a difference of 36.1%), unemployment among women with children under 6 years (7.5% compared to 8.8%, a difference of 17.9%), and unemployment among ages 30 to 34 years (5.3% compared to 6.1%, a difference of 13.2%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.15%), unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 0.73%), and unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 1.2%).
Bangladeshi vs Nonimmigrants Unemployment
Unemployment MetricBangladeshiNonimmigrants
Unemployment
Poor
5.4%
Average
5.3%
Males
Tragic
5.7%
Poor
5.4%
Females
Good
5.2%
Average
5.3%
Youth < 25
Average
11.6%
Tragic
11.9%
Age | 16 to 19 years
Exceptional
16.9%
Fair
17.9%
Age | 20 to 24 years
Exceptional
10.0%
Tragic
10.5%
Age | 25 to 29 years
Average
6.6%
Tragic
7.1%
Age | 30 to 34 years
Good
5.3%
Tragic
6.1%
Age | 35 to 44 years
Fair
4.8%
Tragic
4.9%
Age | 45 to 54 years
Average
4.5%
Good
4.5%
Age | 55 to 59 years
Exceptional
4.7%
Poor
4.9%
Age | 60 to 64 years
Exceptional
4.6%
Average
4.9%
Age | 65 to 74 years
Good
5.3%
Fair
5.4%
Seniors > 65
Fair
5.2%
Average
5.1%
Seniors > 75
Tragic
9.6%
Tragic
9.8%
Women w/ Children < 6
Good
7.5%
Tragic
8.8%
Women w/ Children 6 to 17
Exceptional
7.4%
Tragic
10.0%
Women w/ Children < 18
Good
5.3%
Poor
5.7%

Bangladeshi vs Nonimmigrants Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Nonimmigrants communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 40.1%, a difference of 5.9%), in labor force | age > 16 (65.9% compared to 63.5%, a difference of 3.8%), and in labor force | age 20-24 (78.1% compared to 76.2%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.3% compared to 81.2%, a difference of 0.11%), in labor force | age 30-34 (84.3% compared to 83.5%, a difference of 0.97%), and in labor force | age 35-44 (84.1% compared to 83.2%, a difference of 1.1%).
Bangladeshi vs Nonimmigrants Labor Participation
Labor Participation MetricBangladeshiNonimmigrants
In Labor Force | Age > 16
Exceptional
65.9%
Tragic
63.5%
In Labor Force | Age 20-64
Poor
79.3%
Tragic
78.1%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
40.1%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
76.2%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
83.7%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
83.5%
In Labor Force | Age 35-44
Poor
84.1%
Tragic
83.2%
In Labor Force | Age 45-54
Tragic
81.3%
Tragic
81.2%

Bangladeshi vs Nonimmigrants Family Structure

When considering family structure, the most significant differences between Bangladeshi and Nonimmigrants communities in the United States are seen in single father households (3.1% compared to 2.4%, a difference of 25.6%), single mother households (8.1% compared to 6.7%, a difference of 21.8%), and family households with children (30.1% compared to 27.5%, a difference of 9.4%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.8%, a difference of 0.82%), births to unmarried women (34.4% compared to 35.5%, a difference of 3.3%), and divorced or separated (12.3% compared to 12.8%, a difference of 3.8%).
Bangladeshi vs Nonimmigrants Family Structure
Family Structure MetricBangladeshiNonimmigrants
Family Households
Average
64.3%
Exceptional
64.8%
Family Households with Children
Exceptional
30.1%
Good
27.5%
Married-couple Households
Tragic
43.5%
Good
46.9%
Average Family Size
Exceptional
3.37
Tragic
3.19
Single Father Households
Tragic
3.1%
Tragic
2.4%
Single Mother Households
Tragic
8.1%
Poor
6.7%
Currently Married
Tragic
43.7%
Good
46.9%
Divorced or Separated
Poor
12.3%
Tragic
12.8%
Births to Unmarried Women
Tragic
34.4%
Tragic
35.5%

Bangladeshi vs Nonimmigrants Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Nonimmigrants communities in the United States are seen in no vehicles in household (8.7% compared to 7.9%, a difference of 9.7%), 4 or more vehicles in household (7.6% compared to 7.2%, a difference of 4.5%), and 1 or more vehicles in household (91.4% compared to 92.2%, a difference of 0.92%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (21.9% compared to 21.8%, a difference of 0.44%), 2 or more vehicles in household (58.4% compared to 58.8%, a difference of 0.57%), and 1 or more vehicles in household (91.4% compared to 92.2%, a difference of 0.92%).
Bangladeshi vs Nonimmigrants Vehicle Availability
Vehicle Availability MetricBangladeshiNonimmigrants
No Vehicles Available
Exceptional
8.7%
Exceptional
7.9%
1+ Vehicles Available
Exceptional
91.4%
Exceptional
92.2%
2+ Vehicles Available
Exceptional
58.4%
Exceptional
58.8%
3+ Vehicles Available
Exceptional
21.9%
Exceptional
21.8%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
7.2%

Bangladeshi vs Nonimmigrants Education Level

When considering education level, the most significant differences between Bangladeshi and Nonimmigrants communities in the United States are seen in no schooling completed (3.5% compared to 1.8%, a difference of 97.1%), doctorate degree (1.2% compared to 1.7%, a difference of 38.9%), and master's degree (10.5% compared to 13.3%, a difference of 27.2%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.3%, a difference of 1.8%), kindergarten (96.6% compared to 98.3%, a difference of 1.8%), and 1st grade (96.5% compared to 98.2%, a difference of 1.8%).
Bangladeshi vs Nonimmigrants Education Level
Education Level MetricBangladeshiNonimmigrants
No Schooling Completed
Tragic
3.5%
Exceptional
1.8%
Nursery School
Tragic
96.6%
Exceptional
98.3%
Kindergarten
Tragic
96.6%
Exceptional
98.3%
1st Grade
Tragic
96.5%
Exceptional
98.2%
2nd Grade
Tragic
96.5%
Exceptional
98.2%
3rd Grade
Tragic
96.3%
Exceptional
98.1%
4th Grade
Tragic
96.1%
Exceptional
97.9%
5th Grade
Tragic
95.9%
Exceptional
97.7%
6th Grade
Tragic
95.7%
Exceptional
97.4%
7th Grade
Tragic
94.5%
Exceptional
96.5%
8th Grade
Tragic
94.3%
Exceptional
96.2%
9th Grade
Tragic
93.4%
Exceptional
95.3%
10th Grade
Tragic
92.2%
Excellent
94.1%
11th Grade
Tragic
90.9%
Good
92.7%
12th Grade, No Diploma
Tragic
89.3%
Fair
91.0%
High School Diploma
Tragic
86.9%
Average
89.2%
GED/Equivalency
Tragic
83.1%
Fair
85.2%
College, Under 1 year
Tragic
61.4%
Tragic
62.9%
College, 1 year or more
Tragic
54.5%
Tragic
56.5%
Associate's Degree
Tragic
40.0%
Tragic
42.9%
Bachelor's Degree
Tragic
30.2%
Tragic
34.2%
Master's Degree
Tragic
10.5%
Tragic
13.3%
Professional Degree
Tragic
3.1%
Tragic
3.9%
Doctorate Degree
Tragic
1.2%
Tragic
1.7%

Bangladeshi vs Nonimmigrants Disability

When considering disability, the most significant differences between Bangladeshi and Nonimmigrants communities in the United States are seen in disability age under 5 (1.3% compared to 1.6%, a difference of 24.7%), hearing disability (3.2% compared to 3.6%, a difference of 13.1%), and ambulatory disability (6.3% compared to 6.9%, a difference of 9.4%). Conversely, both communities are more comparable in terms of female disability (13.1% compared to 13.4%, a difference of 2.1%), disability age over 75 (49.4% compared to 48.0%, a difference of 2.9%), and disability age 18 to 34 (7.4% compared to 7.6%, a difference of 3.8%).
Bangladeshi vs Nonimmigrants Disability
Disability MetricBangladeshiNonimmigrants
Disability
Tragic
12.6%
Tragic
13.2%
Males
Tragic
12.0%
Tragic
12.9%
Females
Tragic
13.1%
Tragic
13.4%
Age | Under 5 years
Poor
1.3%
Tragic
1.6%
Age | 5 to 17 years
Tragic
5.8%
Tragic
6.3%
Age | 18 to 34 years
Tragic
7.4%
Tragic
7.6%
Age | 35 to 64 years
Tragic
13.6%
Tragic
13.0%
Age | 65 to 74 years
Tragic
26.8%
Tragic
25.0%
Age | Over 75 years
Tragic
49.4%
Tragic
48.0%
Vision
Tragic
2.3%
Tragic
2.5%
Hearing
Tragic
3.2%
Tragic
3.6%
Cognitive
Tragic
18.6%
Fair
17.4%
Ambulatory
Poor
6.3%
Tragic
6.9%
Self-Care
Tragic
2.8%
Tragic
2.6%